Qualification & Experience
BE / B. Tech in Computer Science/ information technology, Engineering (or equivalent) with at least 4 to 6 years relevant experience in Machine Learning/Deep Learning or MS/PhD in AI/ML with at least 3+ year of industry experience.
Experience in designing and implementing Machine Vision based solutions using Deep Learning (Object detection, Sematic segmentation, pose detection, Activity recognition, Speech recognition etc.) and should be familiar with traditional image processing using OpenCV.
Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Clustering, Deep Learning.
Model development experience with CNN, RNN, LSTM, GRU, 3DCNN etc.
Experience Image processing and OpenCV.
Familiarity with Network optimization techniques and deployment on edge devices.
Strong programming experience in Python, C++. Should be Proficient in OOPS concepts.
Proficiency with a deep learning framework such as TensorFlow or Keras, Pytorch etc. and should be familiar with Pandas, NumPy, Scikit learn, Seaborn/Matplotlib.
Knowledge on Docker images, containers.
Should be familiar with ML algorithms Linear/Lasso/Ridge regression, Random forest, XGBoost, PCA, K-means clustering etc and familiarity with NLTK.
Experience with distributed data/computing tools: Hadoop, Hive, Spark, MySQL etc.
Experience of ML/DL model development using Cloud based infrastructure.
Preferred Interpersonal Skills
Good verbal and written communication skill
Team Player and Excellent presentation skills Location Bangalore
Total Years of Exp
4 to 6
- •Object Detection
- • Cnn
- • C++
- • Lstm
- • Opencv
- • Keras
- • Machine Learning